搜索资源列表
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
cluster.rar
- 用高斯混合模型进行数据聚类分析的matlab 程序。,Set of files for analysis of Gaussian mixture models for data set clustering etc.
Kmeans
- 基于opencv的kmeans聚类实现 输入文本数据，进行聚类输出-Opencv-based clustering of kmeans the input text data, clustering output
jake_fcm
- 模糊Fcm代码，在matlab下开发，用c划分聚类进行数据分析-Fuzzy FCm code, developed in matlab with c divided into clustering for data analysis
Kmeans
- 基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
K_Mean
- 很好的聚类代码，可以用于对图像数据聚类。-A good clustering code that can be used to image data clustering.
fcm1
- fcm的多维数据聚类（针对5个样本4个属性）类别数为3-the fcm The multidimensional data clustering
FCM
- 在matlab开发环境中，使用模糊C均值聚类的方法对数据进行聚类-In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
Spatial-clustering
- 空间聚类分析的C++程序，对数据进行聚类处理并输出树状图。-Spatial clustering analysis C++ procedures, processes and outputs data clustering tree.
Data-Clustering-with-Normalized-Cuts
- 用ncut算法做的数据聚类，经过测试可以正常使用-data clustering with NCUT
Fuzzyjulei
- 聚类分析，模糊集，适用于多维数据聚类。在研究生期间所做的成功，成功将三位数据实现聚类，并把它运用到交通分类当中。-Cluster analysis, fuzzy sets, is applicable to multi-dimensional data clustering.During the graduate student success, success will be three data clustering, and apply it to the classification o
fuzzy-c-means-clustering
- 用于高维数据或者多维图像的模糊C均值聚类算法-Used for army fuzzy c-means clustering high-dimensional data
caitufenge
- 本程序首先把图像由RGB空间转到HSI空间，然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。，实现数据的聚类分割。-The program first the image the RGB space to HSI space and then using color image segmentation strategy and meanshift image segmentation algorithm synthesis of the last to jo
K-means_C
- 用K-means算法实现数据聚类。首先利用C随机产生800个数据，并将这800个数据作为一组训练样本；其次利用K-means的原理跟方法将这组样本聚类成8个类，从而实现数据的分类。-Data Clustering with K-means Algorithm. First, 800 data were randomly generated by C and the 800 data were used as a set of training samples. Secondly, the K-m
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
kernel
- 用kfcm算法实现数据的聚类和分类效果。(Kfcm algorithm is used to achieve data clustering and classification results.)
iycet
- Can realize the two-dimensional data clustering, Rotating machinery 2-d holographic spectrum calculation, Based on negative entropy largest independent component analysis.
feng_it33
- There are detailed notes, Suppressed carrier type differential phase modulation, Can realize the two-dimensional data clustering.
dhbsc
- Can realize the two-dimensional data clustering, The commonly used digital signal modulation based on artificial neural network, Based on negative entropy largest independent component analysis.